Chris Jackson

Data is King! Three weeks ago, I had the privilege of attending the AWS Summit in Sydney, where cutting-edge technologies like Retrieval Augmented Generation (RAG) captured the spotlight. Since 2023, RAG has revolutionised the way we leverage large language models (LLMs) in business applications, particularly when integrated with an organisation's proprietary documents and data. What is RAG? Retrieval Augmented Generation (RAG) is a powerful AI technique that combines the generative capabilities of large language models with the specificity and richness of proprietary databases. This fusion allows RAG to enhance AI-driven applications, making them more relevant and contextually aware than ever before. Applications of RAG in Business: 1. Question Answering Systems: RAG can sift through vast databases to provide precise answers to customer inquiries, reducing response times and improving customer service. 2. Conversational Agents: By integrating RAG, conversational AI can access a wide range of company-specific data to deliver more informed and relevant interactions, enhancing customer engagement and satisfaction. 3. Personalised Recommendation Systems: RAG helps tailor recommendations by accessing historical data, user preferences, and other relevant data, thereby driving better customer experiences and increased sales. 4. Virtual Assistants: Enhanced by RAG, virtual assistants can perform complex tasks such as generating detailed reports, summarising meetings, adding a schedule to your calendars, or providing real-time data-driven insights. 5. Unique Content Generation: From drafting personalised emails to creating detailed reports, RAG empowers businesses to generate unique content that stands out, driving brand differentiation and competitive advantage. The true power of RAG lies in its ability to leverage an organisation’s unique data. This proprietary data acts as a competitive edge, enabling tailored AI solutions that your competitors can only dream about. With RAG, businesses can transform dormant data into dynamic tools that enhance decision-making and customer engagement. How can Lanex help you? At LANEX Australia, we recognise the untapped potential of your proprietary data. Our AI team specialises in harnessing the power of RAG to transform this data into innovative services and solutions. Whether it's building robust AI applications or unlocking new insights from your data, we are equipped to guide you through this transformative journey. For businesses sitting on underutilised data, the message is clear: Data is still king. Let Lanex help you deploy RAG to not only protect your data capital but also significantly leverage it to create new value for your clients. #AI #RAG #ArtificialIntelligence #RetrievalAugmentedGeneration #BusinessValue #generativeAI

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Achieving Singapore’s National AI Strategy (NAIS) will require more than just chips or code. It’s going to take the best of both. NAIS aims to build scalable, impactful AI solutions – as do we. Both ServiceNow and NVIDIA have committed to helping the government advance NAIS in various ways – from creating a new supercomputer in Singapore, to enabling the seamless delivery of critical e-government services that uplifts customer and citizen experience. It’s a long road ahead but collaboration between different industry leaders and government allows us to expand our capabilities far beyond the sum of our parts. Last year, we partnered with NVIDIA to create powerful enterprise-grade, AI-driven workflow automation. This year, we’ve brought digital avatars to life with GenAI – heralding productivity gains that Singapore could well take advantage of. Check out how we put a face to AI-assisted interaction with NVIDIA: http://spr.ly/60469D75G #GenAI #PutAItoWork

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💡 From boosting #AI adoption to enhancing cloud infrastructure, #GoogleCloud is making waves in India. Our CEO, Thomas Kurian's insights highlight our dedication to fostering innovation and driving digital transformation. From healthcare to financial services, discover how our AI solutions are making a difference 👇 https://goo.gle/4ePiduW

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https://lnkd.in/gmvu47G3 "Regardless of platform, IT teams will no longer need to export data to another platform to customize LLMs, notes Nipun Agarwal. Instead, the LLM is now essentially a feature of the database platform, he adds. “We’re democratizing LLMs,” says Agarwal. #HeatWave #GenAI #OCI #OracleCloudInfrastructure #Oracle #GenerativeAI #LLM #LLMs #InDatabase #RAG #RetrievalAugmentedGeneration #SimilaritySearch #MySQL #Lakehouse #DataLake #AWS #Snowflake #BigQuery #Databricks #AI

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Lots of parties are trying to close enterprise execution gaps right now. I see growing references to "semantic layers" and "orchestration"—and these concepts are surely related, no? But also -- be aware that each reference to these terms (semantic layers and orchestration) carries contextually specific or even proprietary meanings. The intents are broadly congruent, but the implementations are far from being so. I applaud efforts to shift attention to these gaps. But don't buy any neatly labeled "solution" before understanding the fundamentals of the issues and their resolutions. Labels are easily bandied around, but solving problems is much harder.

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Exploring the Potential of CAI Concierge AI in Modern Business Practices In this video, I delve deep into CAI (Concierge AI), an advanced AI system setting new standards in operational efficiency and customer service. Discover how CAI's predictive capabilities are revolutionizing industry practices and what this means for the future of business technology. #BusinessTransformation #AI #FutureOfTech #InnovationLeadership #DigitalStrategy #TechInsights #IntegrateAI #TechTrends2024

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Enterprise Architecture has always had a rocky existence in Asia (more so than any other region). While most people I spoke to acknowledge some need for it, it is usually the 1st group to be cut when the economy doesn’t go so well. When I look back at my experiences, I think it is because many “Architects” have evolved from engineers and solution designers and have some trouble making the leap to “architecture”. Therefore I decided to see how I can help in my own way. There are many books on modelling techniques, framework implementation and even certification guides, so i shall not duplicate those information. I decided to go back to basics and write about an overview of EA, how it got to where it is, cover some important frameworks, and most importantly what are the areas of architecture that make up a complete EA view and help folks starting out building up EA teams to understand the various perspective of EA. I also cover some important concepts on architectural thinking (moving from engineering to architecture ) and how to get started on architecture documentation, which I find pretty lacking these days 🤣. So, if you know anyone looking to understand the structure of EA, the basic concepts and how to document architecture decisions, do point them to my latest book. 😀 https://lnkd.in/gkVvqgnV

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#Hybrid_cloud and #AI are two sides of the same coin because it's #all_about_the_data, said #Ric_Lewis, #IBM's #SVP_of_Infrastructure, at Think 2024. https://lnkd.in/gFNHMtS9 ​

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We’re proud to be recognised by AWS as their ASEAN Global Software Partner of the Year 🍾 🎉 This award is a testament to our commitment to helping customers innovate through intelligent technologies, and intuitive user experiences. Check out my latest blog for more details on how MongoDB is demystifying AI and building next-gen apps with industry leaders like AWS through the recently launched MongoDB AI Applications Program (MAAP). #MongoDB #AI #AWS

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Innovation at its core when it comes to API Management..If you are tuning into API economy and focusing on building the next gen. API estate - Be it GraphQL or riding the AI wave with APIs, #IBMAPIConnect has something unique and differentiating for business. Be it on-premise or on cloud, one can leverage the business benefits wherever the IT estate is. Harish Shenoy Nilesh Shirke Ashvin Goyal sumit kant sinha Vinay Menon Buvana Iyer Ramesh Baskaran Samit Shetty

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The #IBM_Chief_Information_Officer (CIO) organization needed a single #platform on which #digital_business application components would run—with full #observability, #transparency and #optimized_cost for #performance. https://lnkd.in/gTapDiGt ​

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Hey you! Tentacles of AI got you wrapped up? Learn how to harness Generative AI with LaunchDarkly and Amazon Bedrock Example: How are development teams using LaunchDarkly feature flags and Amazon Bedrock AI, achieving a 50% reduction in development time and improved testing phases?

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